Spine deformity最新文献

Purpose: To investigate the association and evaluate the characteristics between different types of anterior chest wall and spinal deformities.

Methods: A total of 548 patients with anterior chest wall deformities were included in this study. Clinical and radiological examinations were performed to determine spinal deformities. The type and severity of the spinal deformities were evaluated and their relationships with chest wall deformity subtypes were statistically analyzed.

Results: Spinal deformities were identified in 93 (16.97%) patients. The patients were subdivided into 71 (76.3%) male and 22 (23.7%) female patients. A spinal deformity was detected in 57 (13%) of 418 pectus excavatum (PE) patients, in 23 (19%) of 117 pectus carinatum (PC) patients, and in all patients with mixed pectus deformity (PE + PC), syndromic deformity and rib anomalies. In the PE group, scoliosis, and kyphosis were observed at 57.9 and 31.6%, respectively. In the PC group, these rates were 43.5 and 47.8%, respectively. Idiopathic scoliosis was observed in 42 (77.7%) and constituted the most common scoliosis subgroup. The main thoracic curvature was the most common curve pattern, which was observed in 15 (35.7%) patients with idiopathic scoliosis.

Conclusions: Idiopathic scoliosis with main thoracic curvature is the most common deformity in patients with anterior chest wall deformity. Spinal deformities are more common in male patients with chest deformities. Kyphosis is found in a significant number of PE and PC patients. Patients with mixed PE and PC, rib anomalies, and syndromic disease are more likely to have spinal deformities.

Introduction: Since the outbreak of the COVID-19 pandemic, reduction of social activities and rapid adoption of telemedicine, decreasing face-to-face encounters seems to have negatively affected the timely Idiopathic Scoliosis (IS) referral with a spine specialist. We aim to document the progression of IS curves during COVID-19 pandemic reflected by the late presentation of patients at the initial visit with higher Cobb angles and to evaluate its influence on health-related quality of life scores.

Materials and methods: All IS patients scheduled for surgery between April 2019 and September 2021 were recruited in a prospective cohort study. The patients were divided into five cohorts of 6 month duration each according to their booking date: 2 periods before the 1st COVID-19 wave, one period during and two periods afterwards. In each cohort, patients were divided into 3: those who were scheduled for posterior spinal fusion (PSF) at 1st visit, those booked for vertebral body tethering (VBT) at 1st visit, and those scheduled for surgery but who have failed brace treatment. Variables included age, gender, Risser grade and preoperative SRS-22 scores. Chi² and ANOVA tests were used for comparison.

Results: 173 patients were analyzed. 33 patients (13.1 ± 3 y.o.) were scheduled between Apr and Sept 2019; 38 (13.1 y.o. ± 2) between Oct 2019 and Mar 2020; 31 (13.4 ± 3 y.o.) between Apr and Sept 2020; 30 (14.3 ± 2 y.o.) between Sept 2020 and Mar 2021; and 41 patients (13.8 ± 2 y.o.) between Apr and Sept 2021. Non-statistically significant differences were found between periods before, during or after the COVID-19 first wave regarding patients' age, gender, Risser grade and SRS-22 scores. Average Cobb angles of patients at their 1st visit after the beginning of the COVID-19 pandemic were significantly higher than those before COVID-19 (52.2° ± 7° and 56.6° ± 13° vs 47.8° ± 12° and 45.2° ± 13°; p = 0.0001). More patients were booked for PSF (p < 0.0000) through the five evaluated periods, while the indication of VBT or surgery in patients previously braced progressively decreased.

Conclusion: Patients presented at the scoliosis clinic for the 1st time after the 1st COVID-19 wave with significantly larger Cobb angles, and likely contributed to an increased proportion of PSF, as the potential window for bracing or VBT was missed due to a delayed consultation.

Purpose: The crankshaft phenomenon (CSP) is a corrective loss after posterior surgery for early onset scoliosis (EOS). However, an accurate method for CSP evaluation has yet to be developed. In this study, we evaluated pedicle screw (PS) length and rotation angle using an inverse trigonometric function and investigated the prevalence of the CSP.

Methods: Fifty patients from nine institutions (mean age 10.6 years, male/female ratio 4:46) who underwent early definitive fusion surgery at ≤ 11 years of age were included. The rotation angle was calculated as arctan (lateral/frontal PS length) using radiography. Measurements were taken at the apex and lower instrumented vertebra (LIV) immediate, 2-, and 5-year postoperatively. CSP was defined as a rotation angle progression ≥ 5°. We divided patients into CSP and non-CSP groups and measured the demographic parameters, Risser grade, state of the triradiate cartilage, major coronal Cobb angle, T1-T12 length, T1-S1 length, and presence of distal adding-on (DAO). We compared these variables between groups and investigated the correlation between the measured variables and vertebral rotation. Logistic regression analysis investigated factors associated with CSP.

Results: The rotation angle progressed by 2.4 and 1.3° over 5 years for the apex and LIV, respectively. CSP occurred in 15 cases (30%), DAO in 11 cases (22%), and CSP and DAO overlapped in 4 cases (8%). In the CSP group, the T1-T12 length was low immediate postoperatively. The rotation angle was negatively correlated with preoperative height (r = - 0.33), T1-T12 length (r = - 0.35), and T1-S1 length (r = - 0.30). A lower preoperative T1-T12 length was associated with CSP (odds ratio: 0.996, p = 0.048).

Conclusions: CSP occurred in 30% of patients with EOS who underwent definitive fusion. The presence of CSP was associated with a lower preoperative T1-T12 length.

Level of evidence: Diagnosis, level IV.

Purpose: The relationship between rod curvature and postoperative radiographic results is a debated topic. One of the reasons of the heterogeneity of the observed results might reside in the lack of a validated and widely employed method to measure the curvature of the rods. Aim of this study was to present and validate a novel method for rod measurement, which is based on routine X-rays and utilizes a regression algorithm that limits manual measurements and the related errors.

Methods: Data from 20 adolescent idiopathic scoliosis/Scheuermann kyphosis (AIS/SK) patients and 35 adult spine deformity (ASD) patients for analysis, with 112 rods in total. An orthogonal reference grid was overlaid on the lateral X-ray; seven points were then marked along each rod and their coordinates recorded in a table. Using these coordinates, a third-order polynomial regression was applied to obtain the rod curvature equation (correlation coefficients > 0.97). Three observers (one surgeon, one experienced and one inexperienced observer) independently applied the developed method to measure the rod angulation of the included patients and performed the measurements twice. The reliability of the method was evaluated in terms of intraclass correlation coefficient (ICC), Bland-Altmann plot and 2S_R.

Results: The intra-observer ICCs for all measurements exceed 0.85, indicating an excellent correlation. For the AIS/SK group, the surgeon showed a slightly lower reliability compared to the other two evaluators (0.93 vs 0.98 and 0.98). However, the surgeon showed a higher reliability in measurements of the rods at the lumbar level, both for L1-S1 and L4-S1 (0.98 vs 0.96 and 0.89; 0.97 vs. 0.85 and 0.91, respectively). The variability also showed excellent results, with a mean variability ranging from 1.09° to 3.76°. The inter-observer ICCs for the three measurement groups showed an excellent reliability for the AIS/SK group (0.98). The reliability was slightly lower but still excellent for the lumbar measurements in ASD patients at L1-S1 (0.89) and L4-S1 (0.83). The results of the 2S_R for each measured segment were 4.4° for T5-T11, 5.4° for L1-S1 and 5.5° for L4-S1.

Conclusion: The described method represents a reliable and reproducible way to measure rod curvature. This method is based on routine X-rays and utilizes a regression algorithm that limits manual measurements and the related errors.

Purpose: Identification of adolescent idiopathic scoliosis (AIS) patients with mild curvatures who pose significant risk of progressing to severe levels of curvatures is of paramount importance for clinical care. This study aimed to compare segmental deformity changes in AIS sub-cohorts that are dichotomised by progression status.

Methods: Thirty-six female participants with Lenke 1 AIS curves were investigated with sequential MRIs during growth. Scans were reformatted to measure orthogonal segmental parameters, including sagittal/coronal wedging angles and axial rotation angles. Participants were dichotomised by progression. Two-tailed, independent sample t-tests were used to compare sub-cohort multi-segmental and segmental deformity parameters. Measurements were compared at each scan number and variable rates of change were determined using actual time between measures.

Results: AIS progression status sub-cohorts were comparable at scan 1 for multi-segmental deformity parameters (e.g. major thoracic curve angle, rib hump, kyphosis) (P > 0.05). However, apical measures of coronal IVD wedging, axial IVD rotation and axial vertebral rotation were segmental parameters at scan 1 which were larger for participants whose AIS would later go on to clinically progress (all P < 0.05). Measures of segmental hypokyphosis were comparable between groups. As development was tracked at each subsequent scan, coronal and axial plane differences between groups increased in both magnitude and number of differences.

Conclusion: Initial disparity and then subsequent increasing magnitude of change of axial rotation may indicate a higher propensity to clinically progress in the future. This knowledge hopes to provide useful management information for AIS care providers and prognostic education for patients alike.

Level of evidence: II.

Background: Research has focused on the increased correction from a three-column osteotomy (3CO) during adult spinal deformity (ASD) surgery. However, an in-depth analysis on the performance of a 3CO in a cohort of complex spinal deformity cases has not been described.

Study design/setting: This is a retrospective study on a prospectively enrolled, complex ASD database.

Purpose: This study aimed to determine if three-column osteotomies demonstrate superior benefit in correction of complex sagittal deformity at the cost of increased perioperative complications.

Methods: Surgical complex adult spinal deformity patients were included and grouped into thoracolumbar 3COs compared to those who did not have a 3CO (No 3CO) (remaining cohort). Rigid deformity was defined as ΔLL less than 33% from standing to supine. Severe deformity was defined as global (SVA > 70 mm) or C7-PL > 70 mm, or lumbopelvic (PI-LL > 30°). Means comparison tests assessed correction by 3CO grade/location. Multivariate analysis controlling for baseline deformity evaluated outcomes up to six weeks compared to No 3CO.

Results: 648 patients were included (Mean age 61 ± 14.6 years, BMI 27.55 ± 5.8 kg/m², levels fused: 12.6 ± 3.8). 126 underwent 3CO, a 20% higher usage than historical cohorts. 3COs were older, frail, and more likely to undergo revision (OR 5.2, 95% CI [2.6-10.6]; p < .001). 3COs were more likely to present with both severe global/lumbopelvic deformity (OR 4), 62.4% being rigid. 3COs had greater use of secondary rods (OR 4st) and incurred 4 times greater risk for: massive blood loss (> 3500 mL), longer LOS, SICU admission, perioperative wound and spine-related complications, and neurologic complications when performed below L3. 3COs had similar HRQL benefit, but higher perioperative opioid use. Mean segmental correction increased by grade (G3-21; G4-24; G5-27) and was 4 × greater than low-grade osteotomies, especially below L3 (OR 12). 3COs achieved 2 × greater spinopelvic correction. Higher grades properly distributed lordosis 50% of the time except L5. Pelvic compensation and non-response were relieved more often with increasing grade, with greater correction in all lower extremity parameters (p < .01). Due to the increased rate of complications, 3COs trended toward higher perioperative cost ($42,806 vs. $40,046, p = .086).

Conclusion: Three-column osteotomy usage in contemporary complex spinal deformities is generally limited to more disabled individuals undergoing the most severe sagittal and coronal realignment procedures. While there is an increased perioperative cost and prolongation of length of stay with usage, these techniques represent the most powerful realignment techniques available with a dramatic impact on normalization at operative levels and reciprocal changes.

Purpose: The goal of this study is to characterize the self-reported prevalence of psychiatric comorbidities among patients with adolescent scoliosis.

Methods: Eligible patients across the US were surveyed using ResearchMatch, a validated online platform. The survey collected patient demographics, type of scoliosis, scoliosis treatment received, and the mental health diagnoses and interventions.

Results: Nearly all (98%) of the 162 respondents were patients themselves, the remainder of which were parents. The majority of whom were female (93%), Caucasian (85%), and diagnosed with idiopathic scoliosis (63%). The median age of diagnosis was 13 (IQR 11-18). Most respondents had mild to moderate scoliosis (65%), and 17% received surgical treatment. 76 of 158 (48%) responded that scoliosis affected their overall mental health, and 92 (58%) had received a mental health diagnosis-76% were diagnosed after their scoliosis diagnosis. Of the 92 with mental health diagnoses, the most common diagnoses were clinical depression (83%), anxiety (71%), negative body image (62%). Over 80% of patients received medical treatment or therapy. Of those with depression, 38.4% received counseling and 45.2% received medication. 52% of the respondents also had immediate family members with mental health diagnoses, with siblings (48%) having the highest proportion.

Conclusion: According to the CDC, the prevalence of US teenagers with diagnosed depression was found to be 3.9% and anxiety disorder to be 4.7%, notably higher among adolescent girls. In this national sample, over half of adolescent scoliosis patients report psychiatric comorbidity, often diagnosed years later. The most prevalent psychiatric condition is depression, anxiety, and body-image disturbances. These findings highlight the importance of awareness of the psychiatric impact of adolescent scoliosis, and importance of screening and treatment of comorbid mental health conditions.

Level of evidence: IV.

Purpose: Adolescent idiopathic scoliosis (AIS) is a common spinal deformity with varying progression, complicating treatment decisions. Artificial intelligence (AI) and machine learning (ML) are increasingly prominent in orthopedic care, aiding in diagnosis, risk-stratification, and treatment guidance. This scoping review outlines AI applications in AIS.

Methods: This study followed PRISMA-ScR guidelines and included articles that reported the development, use, or validation of AI models for treating, diagnosing, or predicting clinical outcomes in AIS.

Results: 40 full-text articles were included, with most studies published in the last 5 years (77.5%). Common ML techniques were convolutional neural networks (55%), decision trees and random forests (15%), and artificial neural networks (15%). Most AI applications in AIS were for imaging analysis (25/40; 62.5%), focusing on automatic measurement of Cobb angle, and axial vertebral rotation (13/25; 52%) and curve classification/severity (13/25; 52%). Prediction was the second most common application (15/40; 37.5%), with studies predicting curve progression (9/15; 60%), and Cobb angles (9/15; 60%). Only 15 studies (37.5%) reported clinical implementation guidelines for AI in AIS management. 52.5% of studies reported model accuracy, with an average of 85.4%.

Conclusion: This review highlights the applications of AI in AIS care, notably including automatic radiographic analysis, curve type classification, prediction of curve progression, and AIS diagnosis. However, the current lack of clear clinical implementation guidelines, model transparency, and external validation of studied models limits clinician trust and the generalizability and applicability of AI in AIS management.